def main():
value_map = {
(qubit.row, qubit.col): np.random.random() for qubit in cirq.google.Bristlecone.qubits
}
heatmap = cirq.Heatmap(value_map)
heatmap.plot()
def heatmap(self, key: str) -> cirq.Heatmap:
"""Return a heatmap for metrics that target single qubits.
Args:
key: The metric key to return a heatmap for.
Returns:
A `cirq.Heatmap` for the metric.
Raises:
ValueError: If the heatmap is not for one/two qubits or the metric
values are not single floats.
"""
metrics = self[key]
if not all(len(k) == 1 for k in metrics.values()):
raise ValueError(
'Heatmaps are only supported if all values in a metric are single metric values.'
+ f'{key} has metric values {metrics.values()}')
value_map = {
self.key_to_qubits(k): self.value_to_float(v)
for k, v in metrics.items()
}
if all(len(k) == 1 for k in value_map.keys()):
return cirq.Heatmap(value_map, title=key.replace('_', ' ').title())
elif all(len(k) == 2 for k in value_map.keys()):
return cirq.TwoQubitInteractionHeatmap(value_map,
title=key.replace(
'_', ' ').title())
raise ValueError(
'Heatmaps are only supported if all the targets in a metric are one or two qubits.'
+ f'{key} has target qubits {value_map.keys()}')
def main():
value_map = {(qubit.row, qubit.col): np.random.random()
for qubit in cirq.google.known_devices.Bristlecone.qubits}
heatmap = cirq.Heatmap(value_map)
fig, ax = plt.subplots(figsize=(9, 9))
heatmap.plot(ax)
fig.show(warn=False)
def single_qubit_heatmap():
"""Demo of cirq.Heatmap.
Demonstrates how cirq.Heatmap can be used to generate a heatmap of the qubit fidelities.
"""
value_map = {(qubit,): np.random.random() for qubit in cirq_google.Sycamore.metadata.qubit_set}
heatmap = cirq.Heatmap(value_map)
# This is going to produce an image similar to examples/single_qubit_heatmap_example.png
heatmap.plot()
def single_qubit_heatmap():
"""Demo of cirq.Heatmap.
Demonstrates how cirq.Heatmap can be used to generate a heatmap of the qubit fidelities.
"""
value_map = {(qubit,): np.random.random() for qubit in cirq.google.Bristlecone.qubits}
heatmap = cirq.Heatmap(value_map)
file_path = "examples/single_qubit_heatmap_example.png"
fig, _ = heatmap.plot()
fig.figure.savefig(file_path)
